inf018 - Media Processing (Complete module description)
| Module label | Media Processing |
| Module code | inf018 |
| Credit points | 6.0 KP |
| Workload | 180 h |
| Institute directory | Department of Computing Science |
| Applicability of the module |
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| Responsible persons |
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| Prerequisites | Solid programming skills in Java and/or C++, practical informatics. Interest in media processing |
| Skills to be acquired in this module | The students can explain the basics of image processing and know which algorithms exist for the basic tasks in image processing and how these are applied.
Methodological competence:
Social competence
Self competence
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| Module contents | The lecture covers the technologies of media processing. In particular, the lecture focuses on image processing chain from digital imaging, through image pre-/and postprocessing, and image storage to image analysis. In addition to compression techniques and color space theory (RGB, HSV, YUV, CIEXYZ, ...), the topics of the lecture include image enhancement, feature extraction, feature description, image analysis and image comprehension. The lecture furthermore discusses the encoding and analysis of video and audio. |
| Recommended reading |
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| Links | https://uol.de/en/media-informatics/teaching/courses |
| Language of instruction | German |
| Duration (semesters) | 1 Semester |
| Module frequency | every winter term |
| Module capacity | 12 |
| Teaching/Learning method | V+Ü |
| Type of course | Comment | SWS | Frequency | Workload of compulsory attendance |
|---|---|---|---|---|
| Lecture | 2 | WiSe | 28 | |
| Exercises | 2 | WiSe | 28 | |
| Total module attendance time | 56 h | |||
| Examination | Prüfungszeiten | Type of examination |
|---|---|---|
| Final exam of module | The presentation of the practical project on a project day of all small groups takes place directly after the lecture period. The oral examination takes place in the first two weeks after the end of the lecture period. Any post-examinations will take place at the end of the lecture period. The exact schedule can be found on the department's web pages as well as the information in the learning management system Stud.IP. |
Project and oral Exam or project and written exam |
